Senior Machine Learning Engineer (CV/NLP/Multimodal/LLM/Agent)-E-Commerce Government

• Identify and refine algorithms to spot risk, violations, and low-quality signals in e-commerce contexts such as product catalogs, shopping-cart short videos, and product-focused live streams.
• Develop methods to uncover fraudulent behavior and flag risky merchants and creators.
• Optimize algorithms for large-scale brand libraries, product content, and deduplication/clustering tasks.
• Lead data construction, instruction fine-tuning, chain-of-thought approaches, alignment, and related work for large models in the e-commerce domain to maximize impact.
• Explore reinforcement learning and operations research techniques for intelligent dispatching and audit scheduling to improve audit quality and efficiency.
• Research and build multi-agent tools, models, engines, and platforms to enhance automatic planning, generalized decision-making, and multimodal interaction in e-commerce scenarios; deliver agent-based solutions and feed real-world insights back into model iterations.
• Improve performance and stability of agent systems, including resource utilization, environment interaction latency, and cost efficiency; define platform roadmaps and establish a reliable agent infrastructure.
• Optimize foundational algorithms across NLP, vision, multimodal, search, graph, LLM, and agent domains to support governance initiatives and apply cutting-edge tech to e-commerce use cases.
• Streamline computer vision model optimization for e-commerce, covering fine-grained product image classification, object recognition, logo/brand recognition, and related feature extraction.
• Advance video classification and multimodal content understanding for e-commerce short videos and live streams to enhance the shopping experience.
• Enhance risk identification models for textual content in product copy, images, and voice descriptions within e-commerce contexts.
• Improve risk mining algorithms for comments, reports, and public opinion content about products, short videos, and live broadcasts to bolster governance effects.
• Research large-scale multimodal algorithms (vision, speech, language) and implement them in e-commerce scenarios.
• Extract data from live broadcasts, products, merchants, and creators; model large-scale networks to support content understanding, multimodal representation, and community mining for problem solving.
• Contribute to building a large-scale graph storage and graph learning platform enabling billions of nodes and edges for business use cases.

Requirements

• Bachelor’s degree or higher in computer science or a related field.
• Solid coding skills in a Linux environment, with proficiency in Python, Go, or C++.
• Strong foundation in data structures and algorithms, solid ML/DL theory, and substantial practical experience.
• Familiarity with 1–2 areas among NLP, computer vision, multimodal, graph algorithms, search, text/data mining, and LLM.
• Excellent analytical and problem-solving abilities, with good teamwork and communication skills.
• Experience in platform governance, audit, risk control, content security, or overseas internet/e-commerce operations is preferred.

Technologies

• Python
• Go
• C++
• Linux

Benefits

• Medical, dental, and vision insurance
• 401(k) savings plan with company match
• Paid parental leave
• Short-term and long-term disability coverage
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• 10 paid sick days per year
• 17 days of Paid Personal Time

About the Team

• Addressing risk and violation issues across e-commerce scenarios.
• Building a secure e-commerce ecosystem and enhancing platform service capabilities.

For Los Angeles County (Unincorporated) Candidates

• Interacting with internal and external clients or colleagues, with occasional unsupervised contact.
• Managing confidential information and access to information technology systems with appropriate discretion.
• Applying sound judgment in mission-critical situations.

TikTok Accommodation

Accommodation request details

Job Information

• Base salary range in Seattle: USD 202,160 - 368,220 annually.
• Compensation may vary outside this range based on qualifications, skills, experience, and location.
• Benefits may vary by employment type and country of work location.
• Day-one benefits include medical, dental, and vision insurance; 401(k) with company match; paid parental leave; disability coverage; life insurance; wellbeing benefits, among others.
• Additional time off includes 10 holidays, 10 sick days, and 17 paid personal days per year, prorated at hire with tenure-based accruals.
• The company reserves the right to modify or change benefits programs at any time, with or without notice.